工矿自动化2017，Vol.43Issue(3)：39-42,4.DOI:10.13272/j.issn.1671-251x.2017.03.009
液压支架疲劳寿命近似估算
Approximate estimation of fatigue life of hydraulic support
摘要
Abstract
In view of problem that conventional life approximate analytical method of hydraulic support needs cyclic loading and acquisition of dangerous points which leads to increase of computer load,a life estimation model based on genetic algorithm and BP neural network was proposed.The BP neural network is optimized by using global search performance of genetic algorithm to avoid falling into the local minimum points.The optimized BP neural network is used to establish network mapping model between structural parameters of the dangerous points and fatigue life.The test results of sample size and number of hidden layer nodes show that the estimation accuracy of the model is high when the sample size is 40 and the number of hidden layer nodes is 7;the average value of estimated life of hydraulic support is 36 456 times,and the maximum relative error with the theoretical value is 5.27％.关键词
液压支架/疲劳寿命/估算模型/遗传算法/BP神经网络Key words
hydraulic support/fatigue life/estimation model/genetic algorithm/BP neural network分类
矿业与冶金引用本文复制引用
王京涛,陆金桂,朱正权,钱鹏,林晓川,王邦祥..液压支架疲劳寿命近似估算[J].工矿自动化,2017,43(3):39-42,4.基金项目
“十二五”国家科技支撑计划项目(2013BAF02B11). （2013BAF02B11）
